Data Science

Optimize your marketing strategies through analytics and machine learning

Big data processing and analytics at speed and scale using command line tools.

Practical examples for professionals using R in Data science

Find, explore, and extract big data to transform into actionable insights

Become the master player of data exploration by creating reproducible data processing pipelines, visualizations, and prediction models for your applications.

Build a strong foundation of machine learning algorithms in 7 days

Gain useful insights from your data using popular data science tools

Get unique insights from your data by combining the power of SQL Server, R and Python

Bridge the gap between developer and data scientist by creating a modern open-source, Python-based toolset that works with Jupyter Notebook, and PixieDust.

Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda

Data collection, processing, analysis, and more

Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products